In [1]:
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit_aer import Aer
from qiskit.compiler import transpile
from qiskit.visualization import *
from numpy import pi
from qiskit.visualization import plot_histogram
from qiskit.transpiler import generate_preset_pass_manager
from qiskit.visualization import plot_state_city, plot_bloch_multivector
from qiskit.visualization import plot_state_paulivec, plot_state_hinton
from qiskit.visualization import plot_state_qsphere
Task 1¶
In [2]:
backend = Aer.get_backend('statevector_simulator')
nx=4
shots=2048
qx = QuantumRegister(nx)
cx = ClassicalRegister(nx)
circuitX = QuantumCircuit(qx, cx)
circuitX.measure(qx[0], cx[0])
results = []
for i in range(3):
job_result = backend.run(transpile(circuitX, backend), shots=shots).result()
results.append(job_result)
circuitX.draw(output="mpl")
Out[2]:
In [3]:
counts_list = []
for job_result in results:
counts = job_result.get_counts(circuitX)
counts_list.append(counts)
plot_histogram(counts_list)
Out[3]:
In [4]:
probs_list = []
for counts in counts_list:
shots = sum(counts.values())
probs = {state: c / shots for state, c in counts.items()}
probs_list.append(probs)
plot_histogram(probs_list)
Out[4]:
In [5]:
psi = job_result.get_statevector(circuitX)
plot_state_city(psi)
Out[5]:
In [6]:
plot_state_hinton(psi)
Out[6]:
In [7]:
plot_state_qsphere(psi)
Out[7]:
In [8]:
plot_bloch_multivector(psi)
Out[8]:
Task 2¶
In [9]:
backend = Aer.get_backend('statevector_simulator')
nx=4
shots=2048
qx = QuantumRegister(nx)
cx = ClassicalRegister(nx)
circuitX = QuantumCircuit(qx, cx)
circuitX.x(qx[0])
circuitX.measure(qx[0], cx[0])
results = []
for i in range(3):
job_result = backend.run(transpile(circuitX, backend), shots=shots).result()
results.append(job_result)
circuitX.draw(output="mpl")
Out[9]:
In [10]:
counts_list = []
for job_result in results:
counts = job_result.get_counts(circuitX)
counts_list.append(counts)
plot_histogram(counts_list)
Out[10]:
In [11]:
probs_list = []
for counts in counts_list:
shots = sum(counts.values())
probs = {state: c / shots for state, c in counts.items()}
probs_list.append(probs)
plot_histogram(probs_list)
Out[11]:
In [12]:
psi = job_result.get_statevector(circuitX)
plot_state_city(psi)
Out[12]:
In [13]:
plot_state_hinton(psi)
Out[13]:
In [14]:
plot_state_qsphere(psi)
Out[14]:
In [15]:
plot_bloch_multivector(psi)
Out[15]:
Task 3¶
In [16]:
backend = Aer.get_backend('statevector_simulator')
nx=4
shots=2048
qx = QuantumRegister(nx)
cx = ClassicalRegister(nx)
circuitX = QuantumCircuit(qx, cx)
circuitX.h(qx[0])
circuitX.measure(qx[0], cx[0])
results = []
for i in range(3):
job_result = backend.run(transpile(circuitX, backend), shots=shots).result()
results.append(job_result)
circuitX.draw(output="mpl")
Out[16]:
In [17]:
counts_list = []
for job_result in results:
counts = job_result.get_counts(circuitX)
counts_list.append(counts)
plot_histogram(counts_list)
Out[17]:
In [18]:
probs_list = []
for counts in counts_list:
shots = sum(counts.values())
probs = {state: c / shots for state, c in counts.items()}
probs_list.append(probs)
plot_histogram(probs_list)
Out[18]:
In [19]:
psi = job_result.get_statevector(circuitX)
plot_state_city(psi)
Out[19]:
In [20]:
plot_state_hinton(psi)
Out[20]:
In [21]:
plot_state_qsphere(psi)
Out[21]:
In [22]:
plot_bloch_multivector(psi)
Out[22]:
Task 4 - X Base¶
In [23]:
backend = Aer.get_backend('statevector_simulator')
nx=4
shots=2048
qx = QuantumRegister(nx)
cx = ClassicalRegister(nx)
circuitX = QuantumCircuit(qx, cx)
circuitX.ry(pi / 2, qx[0])
circuitX.p(pi / 2, qx[0])
circuitX.h(qx[0])
circuitX.measure(qx[0], cx[0])
results = []
for i in range(3):
job_result = backend.run(transpile(circuitX, backend), shots=shots).result()
results.append(job_result)
circuitX.draw(output="mpl")
Out[23]:
In [24]:
counts_list = []
for job_result in results:
counts = job_result.get_counts(circuitX)
counts_list.append(counts)
plot_histogram(counts_list)
Out[24]:
In [25]:
probs_list = []
for counts in counts_list:
shots = sum(counts.values())
probs = {state: c / shots for state, c in counts.items()}
probs_list.append(probs)
plot_histogram(probs_list)
Out[25]:
In [26]:
psi = job_result.get_statevector(circuitX)
plot_state_city(psi)
Out[26]:
In [27]:
plot_state_hinton(psi)
Out[27]:
In [28]:
plot_state_qsphere(psi)
Out[28]:
In [29]:
plot_bloch_multivector(psi)
Out[29]:
Task 4 - Y Base¶
In [30]:
backend = Aer.get_backend('statevector_simulator')
nx=4
shots=2048
qx = QuantumRegister(nx)
cx = ClassicalRegister(nx)
circuitX = QuantumCircuit(qx, cx)
circuitX.ry(pi / 2, qx[0])
circuitX.p(pi / 2, qx[0])
circuitX.sdg(qx[0])
circuitX.h(qx[0])
circuitX.measure(qx[0], cx[0])
results = []
for i in range(3):
job_result = backend.run(transpile(circuitX, backend), shots=shots).result()
results.append(job_result)
circuitX.draw(output="mpl")
Out[30]:
In [31]:
counts_list = []
for job_result in results:
counts = job_result.get_counts(circuitX)
counts_list.append(counts)
plot_histogram(counts_list)
Out[31]:
In [32]:
probs_list = []
for counts in counts_list:
shots = sum(counts.values())
probs = {state: c / shots for state, c in counts.items()}
probs_list.append(probs)
plot_histogram(probs_list)
Out[32]:
In [33]:
psi = job_result.get_statevector(circuitX)
plot_state_city(psi)
Out[33]:
In [34]:
plot_state_hinton(psi)
Out[34]:
In [35]:
plot_state_qsphere(psi)
Out[35]:
In [36]:
plot_bloch_multivector(psi)
Out[36]:
Task 4 - Z Base¶
In [37]:
backend = Aer.get_backend('statevector_simulator')
nx=4
shots=2048
qx = QuantumRegister(nx)
cx = ClassicalRegister(nx)
circuitX = QuantumCircuit(qx, cx)
circuitX.ry(pi / 2, qx[0])
circuitX.p(pi / 2, qx[0])
circuitX.measure(qx[0], cx[0])
results = []
for i in range(3):
job_result = backend.run(transpile(circuitX, backend), shots=shots).result()
results.append(job_result)
circuitX.draw(output="mpl")
Out[37]:
In [38]:
counts_list = []
for job_result in results:
counts = job_result.get_counts(circuitX)
counts_list.append(counts)
plot_histogram(counts_list)
Out[38]:
In [39]:
probs_list = []
for counts in counts_list:
shots = sum(counts.values())
probs = {state: c / shots for state, c in counts.items()}
probs_list.append(probs)
plot_histogram(probs_list)
Out[39]:
In [40]:
psi = job_result.get_statevector(circuitX)
plot_state_city(psi)
Out[40]:
In [41]:
plot_state_hinton(psi)
Out[41]:
In [42]:
plot_state_qsphere(psi)
Out[42]:
In [43]:
plot_bloch_multivector(psi)
Out[43]: